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Daytime naps and depression risk: A meta-analysis of observational studies
BACKGROUND: The relationship between daytime napping and depression remains debatable. Thus, a meta-analysis in this study was conducted to evaluate the relationship between daytime napping and depression. METHODS: The PubMed, Embase, Web of Science, and China National Knowledge Infrastructure datab...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798209/ https://www.ncbi.nlm.nih.gov/pubmed/36591028 http://dx.doi.org/10.3389/fpsyg.2022.1051128 |
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author | Li, Liqing Zhang, Qi Zhu, Liyong Zeng, Guohua Huang, Hongwei Zhuge, Jian Kuang, Xiaorui Yang, Sule Yang, Di Chen, Zhensheng Gan, Yong Lu, Zuxun Wu, Chunmei |
author_facet | Li, Liqing Zhang, Qi Zhu, Liyong Zeng, Guohua Huang, Hongwei Zhuge, Jian Kuang, Xiaorui Yang, Sule Yang, Di Chen, Zhensheng Gan, Yong Lu, Zuxun Wu, Chunmei |
author_sort | Li, Liqing |
collection | PubMed |
description | BACKGROUND: The relationship between daytime napping and depression remains debatable. Thus, a meta-analysis in this study was conducted to evaluate the relationship between daytime napping and depression. METHODS: The PubMed, Embase, Web of Science, and China National Knowledge Infrastructure databases were searched up to February 2022, and the reference lists of the included studies were also retrieved. A random-effects model was used to estimate the combined effect size. RESULTS: Nine studies with 649,111 participants were included in the final analysis. The pooled odds ratio (OR) was 1.15 (95% confidence interval: 1.01–1.31) with a significant heterogeneity (I(2) = 91.3%, P for heterogeneity <0.001), and the results demonstrated an increased risk of depressive symptoms among daytime nappers. Visual inspection of the funnel plot and Egger's and Begg's tests identified no obvious evidence of publication bias. CONCLUSION: This meta-analysis indicates that daytime naps are a predictor of depression. The effects of daytime napping on depression may vary depending on the characteristics of people, the pattern of naps, and the individual's sleep experience. The findings may have significant implications for future research on depression. |
format | Online Article Text |
id | pubmed-9798209 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97982092022-12-30 Daytime naps and depression risk: A meta-analysis of observational studies Li, Liqing Zhang, Qi Zhu, Liyong Zeng, Guohua Huang, Hongwei Zhuge, Jian Kuang, Xiaorui Yang, Sule Yang, Di Chen, Zhensheng Gan, Yong Lu, Zuxun Wu, Chunmei Front Psychol Psychology BACKGROUND: The relationship between daytime napping and depression remains debatable. Thus, a meta-analysis in this study was conducted to evaluate the relationship between daytime napping and depression. METHODS: The PubMed, Embase, Web of Science, and China National Knowledge Infrastructure databases were searched up to February 2022, and the reference lists of the included studies were also retrieved. A random-effects model was used to estimate the combined effect size. RESULTS: Nine studies with 649,111 participants were included in the final analysis. The pooled odds ratio (OR) was 1.15 (95% confidence interval: 1.01–1.31) with a significant heterogeneity (I(2) = 91.3%, P for heterogeneity <0.001), and the results demonstrated an increased risk of depressive symptoms among daytime nappers. Visual inspection of the funnel plot and Egger's and Begg's tests identified no obvious evidence of publication bias. CONCLUSION: This meta-analysis indicates that daytime naps are a predictor of depression. The effects of daytime napping on depression may vary depending on the characteristics of people, the pattern of naps, and the individual's sleep experience. The findings may have significant implications for future research on depression. Frontiers Media S.A. 2022-12-15 /pmc/articles/PMC9798209/ /pubmed/36591028 http://dx.doi.org/10.3389/fpsyg.2022.1051128 Text en Copyright © 2022 Li, Zhang, Zhu, Zeng, Huang, Zhuge, Kuang, Yang, Yang, Chen, Gan, Lu and Wu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Li, Liqing Zhang, Qi Zhu, Liyong Zeng, Guohua Huang, Hongwei Zhuge, Jian Kuang, Xiaorui Yang, Sule Yang, Di Chen, Zhensheng Gan, Yong Lu, Zuxun Wu, Chunmei Daytime naps and depression risk: A meta-analysis of observational studies |
title | Daytime naps and depression risk: A meta-analysis of observational studies |
title_full | Daytime naps and depression risk: A meta-analysis of observational studies |
title_fullStr | Daytime naps and depression risk: A meta-analysis of observational studies |
title_full_unstemmed | Daytime naps and depression risk: A meta-analysis of observational studies |
title_short | Daytime naps and depression risk: A meta-analysis of observational studies |
title_sort | daytime naps and depression risk: a meta-analysis of observational studies |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798209/ https://www.ncbi.nlm.nih.gov/pubmed/36591028 http://dx.doi.org/10.3389/fpsyg.2022.1051128 |
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